wiki-query

Query the LLM Wiki — reads index.md first, drills into 3-10 relevant pages, synthesizes an answer with inline [[wikilink]] citations, and offers to file the answer back as a new comparison or synthesis page. Usage /wiki-query "<question>"

9,958 stars

Best use case

wiki-query is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Query the LLM Wiki — reads index.md first, drills into 3-10 relevant pages, synthesizes an answer with inline [[wikilink]] citations, and offers to file the answer back as a new comparison or synthesis page. Usage /wiki-query "<question>"

Teams using wiki-query should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/wiki-query/SKILL.md --create-dirs "https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/.gemini/skills/wiki-query/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/wiki-query/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How wiki-query Compares

Feature / Agentwiki-queryStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Query the LLM Wiki — reads index.md first, drills into 3-10 relevant pages, synthesizes an answer with inline [[wikilink]] citations, and offers to file the answer back as a new comparison or synthesis page. Usage /wiki-query "<question>"

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# /wiki-query

Ask the wiki a question. The librarian reads `index.md` first, picks relevant pages across categories, synthesizes an answer with citations, and offers to file the answer back into the wiki so your explorations compound.

## Usage

```
/wiki-query "<your question>"
/wiki-query "what does the wiki say about sparse autoencoders?"
/wiki-query "compare monosemanticity and polysemanticity across my sources"
/wiki-query "which sources disagree on scaling laws?"
/wiki-query "give me a comparison table of SAE vs linear probing"
```

## What happens

1. **Index-first read** — reads `wiki/index.md` to find relevant pages
2. **Drill-in** — reads 3-10 pages in full (synthesis + concepts + sources + entities)
3. **Follow links** — opportunistically follows wikilinks between pages
4. **Fallback search** — if the index isn't enough, runs `scripts/wiki_search.py` (BM25)
5. **Synthesize** — composes a direct answer + supporting detail + inline `[[sources/xxx]]` citations + "Related pages" section
6. **Offer to file back** — asks whether to save this as a new wiki page (usually in `comparisons/` or `synthesis/`)

## Output formats

The answer's format follows the question:

| Question shape | Output |
|---|---|
| "What is X?" | Markdown explanation with citations |
| "A vs B" | Comparison table |
| "Give me a slide deck on X" | Markdown synthesis → `/wiki-marp` to render |
| "Chart the trend in X" | Python script + saved chart in `wiki/assets/charts/` |

## Sub-agent

This command dispatches the `wiki-librarian` sub-agent. See `agents/wiki-librarian.md`.

## Scripts

- `engineering/llm-wiki/scripts/wiki_search.py` — BM25 fallback search
- `engineering/llm-wiki/scripts/append_log.py` — log filed answers

## Rules

- **Read the index first.** No grep-everything.
- **Every claim cites a page** with a `[[wikilink]]`.
- **Offer to file the answer back** — but only for substantive answers worth keeping.

## Skill Reference

→ `engineering/llm-wiki/SKILL.md`
→ `engineering/llm-wiki/references/query-workflow.md`

Related Skills

wiki-log

9958
from alirezarezvani/claude-skills

Show recent entries from the LLM Wiki log (wiki/log.md). Uses the standardized

wiki-lint

9958
from alirezarezvani/claude-skills

Run a health check on the LLM Wiki vault — mechanical checks (orphans, broken links, stale pages, missing frontmatter, log gap, duplicates) plus semantic checks (contradictions, cross-reference gaps, concepts missing their own page). Outputs a markdown report with suggested actions. Usage /wiki-lint [--stale-days N] [--log-gap-days N]

wiki-init

9958
from alirezarezvani/claude-skills

Bootstrap a fresh LLM Wiki vault with the three-layer structure, schema files, and starter templates. Usage /wiki-init <path> --topic "<topic>" [--tool all|claude-code|codex|cursor|antigravity]

wiki-ingest

9958
from alirezarezvani/claude-skills

Ingest a source file from raw/ into the LLM Wiki — read, discuss, write summary page, update cross-references across 5-15 pages, regenerate index, append to log. Usage /wiki-ingest <path-to-source>

llm-wiki

9958
from alirezarezvani/claude-skills

Use when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates entity/concept pages, maintains cross-references, and keeps a synthesis current. Triggers include "second brain", "Obsidian wiki", "personal knowledge management", "ingest this paper/article/book", "build a research wiki", "compound knowledge", "Memex", or whenever the user wants knowledge to accumulate across sessions instead of being re-derived by RAG on every query.

cs-wiki-linter

9958
from alirezarezvani/claude-skills

Dispatched sub-agent that runs a periodic health check on an LLM Wiki vault. Runs mechanical checks via scripts (orphans, broken links, stale pages, missing frontmatter, duplicate titles, log gaps), does semantic checks (contradictions, stale claims, cross-reference gaps, concepts missing their own page), and produces a markdown report with suggested actions. Spawn weekly, after batch ingests, or when the user says "check the wiki" / "lint my wiki" / "audit the vault".

cs-wiki-librarian

9958
from alirezarezvani/claude-skills

Dispatched sub-agent that answers queries against an LLM Wiki vault. Reads index.md first, drills into 3-10 relevant pages across categories, synthesizes an answer with inline [[wikilink]] citations, and offers to file the answer back into the wiki as a new comparison or synthesis page. Spawn when the user asks a substantive question the wiki might answer, says "what does the wiki say about X", "compare A and B across my sources", or wants to explore a topic.

cs-wiki-ingestor

9958
from alirezarezvani/claude-skills

Dispatched sub-agent that ingests a new source into an LLM Wiki vault. Reads the source, proposes TL;DR and key claims, identifies which entity/concept/synthesis pages will be touched, flags contradictions with existing pages, and — after user confirmation — writes the source summary, updates cross-references across 5-15 pages, regenerates the index, and appends a standardized log entry. Spawn when the user says "ingest this", "add this paper/article/book to the wiki", or drops a file into raw/.

tc

9958
from alirezarezvani/claude-skills

Track technical changes with structured records, a state machine, and session handoff. Usage: /tc <init|create|update|status|resume|close|export|dashboard> [args]

tc-tracker

9958
from alirezarezvani/claude-skills

Use when the user asks to track technical changes, create change records, manage TC lifecycles, or hand off work between AI sessions. Covers init/create/update/status/resume/close/export workflows for structured code change documentation.

karpathy-coder

9958
from alirezarezvani/claude-skills

Use when writing, reviewing, or committing code to enforce Karpathy's 4 coding principles — surface assumptions before coding, keep it simple, make surgical changes, define verifiable goals. Triggers on "review my diff", "check complexity", "am I overcomplicating this", "karpathy check", "before I commit", or any code quality concern where the LLM might be overcoding.

karpathy-check

9958
from alirezarezvani/claude-skills

Run Karpathy's 4-principle review on staged changes or the last commit. Checks complexity, diff noise, hidden assumptions, and goal verification. Usage /karpathy-check [--last-commit]